A power grid dispatching operation log fault information analysis method based on text mining

The invention relates to a power grid dispatching operation log fault information analysis method based on text mining, and belongs to the field of intelligent retrieval. The method comprises the following steps of S1, preprocessing fault information, wherein word segmentation, feature extraction and stop word removal are included; S2, calling a text mining algorithm by using a text mining tool, and carrying out fault information mining representation; And S3, performing feature selection and weight calculation. The text mining technology can combine and schedule the operation data in each service system to analyze fault occurrence reasons under different operation states, and plays a greater and greater role in reducing unnecessary faults and improving power economic benefits in the future. 本发明涉及一种基于文本挖掘的电网调度运行日志故障信息分析方法，属于智能检索领域。该方法包括以下步骤：S1：故障信息预处理，包括分词、特征提取和去停用词；S2：利用文本挖掘工具调用文本挖掘算法，进行故障信息挖掘表示；S3：进行特征选择及其权重的计算。本发明的文本挖掘技术可以结合调度各业务系统中的运行数据，分析不同运行状态下的故障发生原因，为以后减少不必要的故障发生，提高电力经济效益，文本挖掘技术将发挥越来越大的作用。